System and methods for processing analyte sensor data
Abstract
Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1. A method for calibrating data from a glucose sensor, the method comprising:
receiving sensor data from a glucose sensor, including one or more sensor data points;
receiving reference data, including one or more reference data points; determining a level of stability by evaluating a frequency content of the sensor data; and
calibrating the sensor data using the reference data after the glucose sensor has reached a predetermined level of stability.
2. The method of claim 1 , wherein the step of calibrating is only performed if the glucose sensor reaches the predetermined level of stability.
3. The method of claim 1 , wherein the step of receiving reference data comprises receiving data obtained from a blood glucose test.
4. The method of claim 1 , wherein the step of receiving reference data comprises receiving an internal wired communication from a reference glucose monitor.
5. A system for calibrating data from a glucose sensor, the system comprising:
a sensor data module configured to receive sensor data from the glucose sensor, including one or more sensor data points;
a reference input module configured to receive one or more reference glucose points from a reference glucose monitor; and
a processor module configured to determine a level of stability by evaluating a frequency content of the sensor data, the processor module being further configured to calibrate the glucose sensor after the glucose sensor has reached a predetermined level of stability.
6. The system of claim 5 , wherein the processor module is configured to calibrate the glucose sensor only after the glucose sensor reaches the predetermined level of stability.
7. The system of claim 5 , wherein the one or more reference data points are obtained from a blood glucose test.
8. The system of claim 5 , wherein the one or more reference data points are obtained from a reference glucose monitor integral with said system.
9. A method for calibrating a continuous glucose sensor, the method comprising:
receiving one or more sensor determining a level of stability by evaluating a frequency content of the sensor data; data points from a continuous glucose sensor; and
prompting a user for reference glucose data after a predetermined level of stability of the continuous glucose sensor has been reached.
10. The method of claim 9 , wherein determining a level of stability further comprises evaluating further comprises evaluating physiological information.
11. A system for calibrating a continuous glucose sensor, the system comprising:
a sensor data module operatively linked to a continuous glucose sensor and configured to receive one or more sensor data points from said sensor; and
a processor module configured to determine a level of stability of the continuous glucose sensor by evaluating a frequency content of the sensor data, the processor module being programmed to prompt a user for reference glucose data after a predetermined level of stability of the continuous glucose sensor has been reached.
12. The system of claim 11 , wherein the processor module is further configured to determine the level of stability by evaluating physiological information.Cited by (0)
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